Publications from conferences, workshops, and journals are listed below. Please also see the NDN Technical Reports and Technical Presentations.
2022
Song, Sichen; Zhang, Lixia
Effective NDN Congestion Control Based on Queue Size Feedback Proceedings Article
In: Proceedings of the 9th ACM Conference on Information-Centric Networking, pp. 11–21, Association for Computing Machinery, Osaka, Japan, 2022, ISBN: 9781450392570.
Abstract | Links | BibTeX | Tags: Congestion Control, multi-path forwarding
@inproceedings{song2022effective,
title = {Effective NDN Congestion Control Based on Queue Size Feedback},
author = {Sichen Song and Lixia Zhang},
url = {https://doi.org/10.1145/3517212.3558088},
doi = {10.1145/3517212.3558088},
isbn = {9781450392570},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {Proceedings of the 9th ACM Conference on Information-Centric Networking},
pages = {11–21},
publisher = {Association for Computing Machinery},
address = {Osaka, Japan},
series = {ICN '22},
abstract = {Named data networking (NDN) can improve the consumer data retrieval throughput with its built-in multicast data delivery, innetwork caching, and ability to support multi-path forwarding. However, their realization brings challenges. In this work, we first examine how multi-path forwarding and in-network caching can interfere with consumer measurements for congestion control. Based on the results, we propose a congestion control solution, NDN-QSF, that can work effectively in the presence of in-network caching. In NDN-QSF, forwarders estimate upstream bandwidth and use queue size as congestion feedback to inform downstream routers to limit interest transmission rates. We further adapt and extend NDN-QSF to enable routers to make informed multi-path forwarding decisions. We evaluated NDN-QSF through simulation experimentation and our results show that NDN-QSF can effectively control congestion by using queue size as congestion feedback and improve network throughput with multi-path forwarding.},
keywords = {Congestion Control, multi-path forwarding},
pubstate = {published},
tppubtype = {inproceedings}
}
Named data networking (NDN) can improve the consumer data retrieval throughput with its built-in multicast data delivery, innetwork caching, and ability to support multi-path forwarding. However, their realization brings challenges. In this work, we first examine how multi-path forwarding and in-network caching can interfere with consumer measurements for congestion control. Based on the results, we propose a congestion control solution, NDN-QSF, that can work effectively in the presence of in-network caching. In NDN-QSF, forwarders estimate upstream bandwidth and use queue size as congestion feedback to inform downstream routers to limit interest transmission rates. We further adapt and extend NDN-QSF to enable routers to make informed multi-path forwarding decisions. We evaluated NDN-QSF through simulation experimentation and our results show that NDN-QSF can effectively control congestion by using queue size as congestion feedback and improve network throughput with multi-path forwarding.